# Functional Genomics and Bioinformatics Core

> **NIH NIH P30** · BOSTON MEDICAL CENTER · 2020 · $218,945

## Abstract

Abstract
There has been a revolution in biomedicine fueled by the development of next generation sequencing
technologies. These advances have made it possible to address systems level questions. Instead of
determining the effect of a perturbation on one gene, all genes can be assessed simultaneously. Instead of
asking how a transcription factor binds to a single promoter or enhancer, now all binding sites for that factor
can be determined in a single experiment. Taking advantage of these approaches involves the application of
specialized technical and analytical skills, and may be beyond the reach of a single laboratory. Mindful of these
issues, and of the need to apply cutting edge genome-wide technology to questions of relevance to diabetes,
obesity, and metabolic disease, we have established a Functional Genomics and Bioinformatics Core. The
goals of this Core are to provide access to state-of-the-art methods to members of the BNORC community, in
order to enhance and facilitate a deeper understanding of how metabolic disease develops, and how it can be
diagnosed and treated.

## Key facts

- **NIH application ID:** 9936249
- **Project number:** 5P30DK046200-28
- **Recipient organization:** BOSTON MEDICAL CENTER
- **Principal Investigator:** Evan D Rosen
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $218,945
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9936249

## Citation

> US National Institutes of Health, RePORTER application 9936249, Functional Genomics and Bioinformatics Core (5P30DK046200-28). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9936249. Licensed CC0.

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